Projekte

• FortgeschrittenSchwierigkeitsgrad
• 4.2+
• 124

Analyze Twitter follower data with Python! Use Pandas and NetworkX to build functions, identify influential users, and explore network structures.

• FortgeschrittenSchwierigkeitsgrad
• 4.7+
• 114

Apply clustering and NLP techniques to sort text data from negative reviews in the Google Play Store into categories.

• FortgeschrittenSchwierigkeitsgrad
• 3.3+
• 112

Process insurance claims with a Pinecone vector database and OpenAI embeddings.

• FortgeschrittenSchwierigkeitsgrad
• 4.6+
• 108

Analyze CO2 emissions across geographical regions and fuel sources to understand environmental impacts in the energy sector.

• FortgeschrittenSchwierigkeitsgrad
• 4.0+
• 101

Use Explainable AI to understand demand forecasting models and make data-driven decisions.

• FortgeschrittenSchwierigkeitsgrad
• 4.0+
• 98

Analyze grocery store data to identify shopping patterns and preferences.

• FortgeschrittenSchwierigkeitsgrad
• 4.8+
• 95

Improve a Car Price prediction model using Feature Engineering tools

• FortgeschrittenSchwierigkeitsgrad
• 4.3+
• 87

Compare life expectancy across countries and genders with ggplot2.

• FortgeschrittenSchwierigkeitsgrad
• 4.7+
• 79

Write functions to forecast time series of food prices in Rwanda.

• FortgeschrittenSchwierigkeitsgrad
• 4.1+
• 79

Determine the patterns where bike theft is most likely to occur using visualizations.

• FortgeschrittenSchwierigkeitsgrad
• 4.3+
• 65

Build a regression model for a DVD rental firm to predict rental duration. Evaluate models to recommend the best one.